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About the role
Key Responsibilities Design, develop, and maintain scalable ETL/data integration pipelines using AWS Glue. Build and optimize data processing workflows using Python, SQL, and AWS services. Develop, enhance, and support Java/Spring Boot microservices integrated with AWS. Monitor, troubleshoot, and support production applications and data pipelines. Work with services such as S3, Lambda, IAM, CloudWatch, SNS/SQS, API Gateway, and RDS. Collaborate with cross-functional teams to deliver reliable, secure, and high-performing solutions. Perform root cause analysis, incident resolution, and production support activities. Follow CI/CD and DevOps best practices for application deployment. Required Skills Strong hands-on experience with AWS Glue (mandatory). Experience with AWS services such as S3, Lambda, IAM, CloudWatch, API Gateway, SNS/SQS, and RDS. Proficiency in Python and SQL for ETL/data engineering. Experience developing Java 8+/Spring Boot microservices. Good understanding of REST APIs and Microservices architecture. Experience with Git, Maven/Gradle, and CI/CD pipelines. Knowledge of production/application support, monitoring, and troubleshooting. Good communication and problem-solving skills. Preferred Skills Experience with Apache Spark or Glue Spark Jobs. Exposure to Docker/Kubernetes. Knowledge of Kafka or other messaging services. Experience with Agile/Scrum methodologies. Skills: java,spring boot,aws
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